Features
Data-driven decision making for economic prosperity and good governance – part I
By Dr. Ranga Prabodanie
Just as the industrial revolution transformed the agrarian economies to manufacturing economies during 1970s and 1980s, the “data revolution” is expected to transform the world towards a global digital economy within the 21st century. Unlike the coal-fueled industrial revolution, today’s data revolution has opened a fair game allowing all nations, businesses and individuals to harness the relentless tide of data. Today, the production, storage and consumption of digital data has become a virtually unconscious process. Billions of people and devices connected to internet are generating massive amounts of data on people, products, markets, weather, traffic, etc. and the list goes to infinity. Such data in large volume, velocity, variety and complexity known as “big data” together with advances in technologies such as Internet-of-Things (IOT), Artificial Intelligence, Cloud and Edge Computing, Robots and 5G networks have paved the way for the 21st century data revolution. Cost efficiency, scalability and adaptability of these technologies have created an open competitive environment where anyone who take strategic advantage of data by uncovering the hidden insights can reach the heights of success.
Broadly defined, data-driven decision making is the process of collecting and analyzing data and generating insights from data to inform decision making. It’s the philosophy of making decisions based on real data rather than on intuition. This article attempts to rationalize a nation-wide movement to explore data strategically for economic and social development. To establish the context, let’s first take a look at how successful businesses use data smartly to drive their profits.
Data-Driven Business Models
Amazon, the world’s largest online marketplace, which placed its founder Jeff Bezos among the richest in the world, is a typical success story of data-driven decision making. Amazon’s product recommendation algorithms make intelligent predictions on which products each customer would be interested in, based on what the customer have viewed, bought, ranked and reviewed previously. Highly personalized product recommendations are driving Amazon’s profits and sales. By carefully tracking and analyzing every single aspect of customer behavior from mouse-click to product search and purchase, and by integrating the insights generated from such data into their decision making, the company has realized staggering profits and sales over the years.
Coca Cola recently introduced a new flavour Cherry Sprite based on the data recorded on self-service soft drink machines that dispense drinks according to customer specified mix (Bernard Marr – an article on Forbes magazine). They have utilized extensive analysis of sales data to identify trends such as decline in demand for sugary drinks and to optimally combine several factors including price, taste and packaging to match the expectations of local customers in more than 200 countries throughout the world. The company has developed and promoted healthier options such as Minute Maid in response to market intelligence they have generated not only from sales data but those shared on social media.
Uber, which revolutionized, the transportation industry within few years of its inception, is fuelled by data they collect on bookings, trips, travel patterns and behaviors. You may have enjoyed the luxury of picking up an Uber Taxi within few minutes out of the shopping mall or airport. How do they make the taxis available when and where we need them just-in-time? Uber uses historical data on times, days, and locations where the demand occurred and the trips completed to perform extensive analysis which identify areas where the demand can exceed supply. They then inform the drivers to move to such areas well in time to explore the rising demand. Uber uses data extensively in every business function including pricing, driver rating, traffic monitoring, driver guiding, and fake-rides detection.
Ecommerce in Sri Lanka
If we compare those three multinational business models with similar businesses in Sri Lanka, our retailers, soft-drink businesses and taxi services do use information technology, and are not necessarily under-resourced, at least in terms of digital data; but why cannot they stand out from others, cross the national boundaries and make global brands? Supermarket chains such as Keells, Arpico and Cargills collect massive amounts of sales data just as Amazon does. If they properly analyze the data, they can learn more about consumer behaviors and tastes (e.g. fast-moving brands, products bought together, quantities purchased, shopping frequencies, arrival times) and use those insights to offer a unique shopping experience. There was a boom in online shopping during the pandemic lockdowns, but unfortunately, all our retailers had similar ecommerce platforms with same basic functionality and they lacked data-driven innovation. Shoppers have to search, check availability, select and add each item to the cart coping with annoyingly slow web site performance. Reducing search, and thus the transaction cost, is the fundamental concept which drives the success of ecommerce business. If our leading retailers had ever looked at the sales data seriously, they would have known that people usually buy the same brand of milk powder every time and same set of consumer products every week. And who knows, there may be other surprising patterns hidden underneath the heaps of sales data. Simple data-driven innovations such as suggesting or adding customer favorites to the cart automatically can escalate retail sales and profits while saving the customers’ valuable time.
Understanding the Customer
The taxi services in Sri Lanka also have online and mobile booking facilities and all the data on service requests, bookings and completed trips are recorded. If those records are mined using appropriate methods and technology, they could reveal unimaginable insights that would help improve the service. Success in service sector is hugely dependent on understanding the customer. As Coca Cola has always acknowledged, customer tastes vary across continents and they evolve rapidly over time. Hence, acquisition of market intelligence through continuous data collection and analysis is of utmost importance for the fast-moving service sector.
Within the service domain, banking, finance and insurance sector is usually the forerunner in adopting up-to-date technologies. Almost all banks in Sri Lanka have electronic records of customers, accounts, transactions, savings, etc. but what rarely happens is the analysis of those records to generate insights on specific customer groups and their specific needs. Previously unexplored opportunities may arise with emerging trends such as delayed retirement, overseas higher education and online shopping. In such dynamic business environments, data is the primary source of market intelligence and the perfect recipe for understanding the customer.
Data-Driven Governance
It’s not only the profit-seeking businesses which capitalize on the mass influx of data. Forward-looking nations use data to generate intelligence that drive public policy and delivery of public services ensuring transparency and accountability. In developed countries like US and Australia, data-driven predictive analysis is used to estimate and manage the demand for health and aged care services. Emergency services use historical data on emergency calls, locations, response times, etc., for efficient allocation of resources to improve their preparedness and response. Several countries use crime data analysis (dates, locations, types, victims, suspects, etc.) for risk assessment, to improve crime intelligence, and to fight crime more proactively. Simulations based on weather data, hydro-geographical data, emissions and extractions are used for measuring and predicting environmental impacts and informing government policy towards mitigation and conservation.
Data use in Developing Countries
The world bank report on “Big Data in Action for Government” highlights several examples of developing countries adopting data driven decision making to serve their people better. A state government in Brazil has used a mobile app to collect real time data on health care services which enabled them to identify issues such as bribing and to respond timely and efficiently. In Seoul, South Korea, data from taxi services have been used to optimize the nighttime bus service by matching the origins and destinations of the trips. Kenyan government uses a mapping platform to identify areas where there are shortages of education resources. In Mexico, data from student interaction and feedback are analyzed to identify problems and continuously improve the education process. The municipal government of Shanghai has significantly reduced the maintenance cost and service disruptions in their water supply network by monitoring data obtained from sensors installed at various points of the network to identify issues such as leaks. South African government is using data from satellite images and mobile apps to geo-locate households with a view to digitize their census process. In India, data on nightlights captured from satellite images are used to monitor electricity supply. There are countless other examples of governments using widely available technology to collect data on public services, market performance, investments, and other socio-economic indicators. They analyze the data to identify trends, patterns, issues and developments and to predict future events, outcomes and behaviors. The insights and predictions then inform and guide the policy formulation.
Above examples provide evidence that even the developing countries can use data strategically and innovatively for economic development and social well-being. The next part of this article will focus on where we are today as a nation in the path towards the data revolution and where we can be tomorrow.
(The writer is a Senior Lecturer in Wayamba University of Sri Lanka. However, the views and ideas presented are those of the author and do not reflect the policy or position of any institution.)
Features
Ethnic-related problems need solutions now
In the space of 15 months, President Anura Kumara Dissanayake has visited the North of the country more than any other president or prime minister. These were not flying visits either. The president most recent visit to Jaffna last week was on the occasion of Thai Pongal to celebrate the harvest and the dawning of a new season. During the two days he spent in Jaffna, the president launched the national housing project, announced plans to renovate Palaly Airport, to expedite operations at the Kankesanthurai Port, and pledged once again that racism would have no place in the country.
There is no doubt that the president’s consistent presence in the north has had a reassuring effect. His public rejection of racism and his willingness to engage openly with ethnic and religious minorities have helped secure his acceptance as a national leader rather than a communal one. In the fifteen months since he won the presidential election, there have been no inter community clashes of any significance. In a country with a long history of communal tension, this relative calm is not accidental. It reflects a conscious political choice to lower the racial temperature rather than inflame it.
But preventing new problems is only part of the task of governing. While the government under President Dissanayake has taken responsibility for ensuring that anti-minority actions are not permitted on its watch, it has yet to take comparable responsibility for resolving long standing ethnic and political problems inherited from previous governments. These problems may appear manageable because they have existed for years, even decades. Yet their persistence does not make them innocuous. Beneath the surface, they continue to weaken trust in the state and erode confidence in its ability to deliver justice.
Core Principle
A core principle of governance is responsibility for outcomes, not just intentions. Governments do not begin with a clean slate. Governments do not get to choose only the problems they like. They inherit the state in full, with all its unresolved disputes, injustices and problemmatic legacies. To argue that these are someone else’s past mistakes is politically convenient but institutionally dangerous. Unresolved problems have a habit of resurfacing at the most inconvenient moments, often when a government is trying to push through reforms or stabilise the economy.
This reality was underlined in Geneva last week when concerns were raised once again about allegations of sexual abuse that occurred during the war, affecting both men and women who were taken into government custody. Any sense that this issue had faded from international attention was dispelled by the release of a report by the Office of the Human Rights High Commissioner titled “Sri Lanka: Report on conflict related sexual violence”, dated 13.01.26. Such reports do not emerge in a vacuum. They are shaped by the absence of credible domestic processes that investigate allegations, establish accountability and offer redress. They also shape international perceptions, influence diplomatic relationships and affect access to cooperation and support.
Other unresolved problems from the past continue to fester. These include the continued detention of Tamil prisoners under the Prevention of Terrorism Act, in some cases for many years without conclusion, the failure to return civilian owned land taken over by the military during the war, and the fate of thousands of missing persons whose families still seek answers. These are not marginal issues even when they are not at the centre stage. They affect real lives and entire communities. Their cumulative effect is corrosive, undermining efforts to restore normalcy and rebuild confidence in public institutions.
Equal Rights
Another area where delay will prove costly is the resettlement of Malaiyaha Tamil communities affected by the recent cyclone in the central hills, which was the worst affected region in the country. Even as President Dissanayake celebrated Thai Pongal in Jaffna to the appreciation of the people there, Malaiyaha Tamils engaged in peaceful campaigns to bring attention to their unresolved problems. In Colombo at the Liberty Roundabout, a number of them gathered to symbolically celebrate Thai Pongal while also bringing national attention to the issues of their community, in particular the problem of displacement after the cyclone.
The impact of the cyclone, and the likelihood of future ones under conditions of climate change, make it necessary for the displaced Malaiyaha Tamils to be found new places of residence. This is also an opportunity to tackle the problem of their landlessness in a comprehensive manner and make up for decades if not two centuries of inequity.
Planning for relocation and secure housing is good governance. This needs to be done soon. Climate related disasters do not respect political timetables. They punish delay and indecision. A government that prides itself on system change cannot respond to such challenges with temporary fixes.
The government appears concerned that finding new places for the Malaiyaha Tamil people to be resettled will lead to land being taken away from plantation companies which are said to be already struggling for survival. Due to the economic crisis the country has faced since it went bankrupt in 2022, the government has been deferential to the needs of company owners who are receiving most favoured treatment. As a result, the government is contemplating solutions such as high rise apartments and townhouse style housing to minimise the use of land.
Such solutions cannot substitute for a comprehensive strategy that includes consultations with the affected population and addresses their safety, livelihoods and community stability.
Lose Trust
Most of those who voted for the government at the last elections did so in the hope that it would bring about system change. They did not vote for the government to reinforce the same patterns that the old system represented. At its core, system change means rebalancing priorities. It means recognising that economic efficiency without social justice is a short-term gain with long-term costs. It means understanding that unresolved ethnic grievances, unaddressed wartime abuses and unequal responses to disaster will eventually undermine any development programme, no matter how well designed. Governance that postpones difficult decisions may buy time, but lose trust.
The coming year will therefore be decisive. The government must show that its commitment to non racism and inclusion extends beyond conflict prevention to conflict resolution. Addressing conflict related abuses, concluding long standing detentions, returning land, accounting for the missing and securing dignified resettlement for displaced communities are not distractions from the government programme. They are central to it. A government committed to genuine change must address the problems it inherited, or run the risk of being overwhelmed when those problems finally demand settlement.
by Jehan Perera
Features
Education. Reform. Disaster: A Critical Pedagogical Approach
This Kuppi writing aims to engage critically with the current discussion on the reform initiative “Transforming General Education in Sri Lanka 2025,” focusing on institutional and structural changes, including the integration of a digitally driven model alongside curriculum development, teacher training, and assessment reforms. By engaging with these proposed institutional and structural changes through the parameters of the division and recognition of labour, welfare and distribution systems, and lived ground realities, the article develops a critical perspective on the current reform discourse. By examining both the historical context and the present moment, the article argues that these institutional and structural changes attempt to align education with a neoliberal agenda aimed at enhancing the global corporate sector by producing “skilled” labour. This agenda is further evaluated through the pedagogical approach of socialist feminist scholarship. While the reforms aim to produce a ‘skilled workforce with financial literacy,’ this writing raises a critical question: whose labour will be exploited to achieve this goal? Why and What Reform to Education
In exploring why, the government of Sri Lanka seeks to introduce reforms to the current education system, the Prime Minister and Minister of Education, Higher Education, and Vocational Education, Dr. Harini Amarasuriya, revealed in a recent interview on 15 January 2026 on News First Sri Lanka that such reforms are a pressing necessity. According to the philosophical tradition of education reform, curriculum revision and prevailing learning and teaching structures are expected every eight years; however, Sri Lanka has not undertaken such revisions for the past ten years. The renewal of education is therefore necessary, as the current system produces structural issues, including inequality in access to quality education and the need to create labour suited to the modern world. Citing her words, the reforms aim to create “intelligent, civil-minded citizens” in order to build a country where people live in a civilised manner, work happily, uphold democratic principles, and live dignified lives.
Interpreting her narrative, I claim that the reform is intended to produce, shape, and develop a workforce for the neoliberal economy, now centralised around artificial intelligence and machine learning. My socialist feminist perspective explains this further, referring to Rosa Luxemburg’s reading on reforms for social transformation. As Luxemburg notes, although the final goal of reform is to transform the existing order into a better and more advanced system: The question remains: does this new order truly serve the working class? In the case of education, the reform aims to transform children into “intelligent, civil-minded citizens.” Yet, will the neoliberal economy they enter, and the advanced technological industries that shape it, truly provide them a better life, when these industries primarily seek surplus profit?
History suggests otherwise. Sri Lanka has repeatedly remained at the primary manufacturing level within neoliberal industries. The ready-made garment industry, part of the global corporate fashion system, provides evidence: it exploited both manufacturing labourers and brand representatives during structural economic changes in the 1980s. The same pattern now threatens to repeat in the artificial intelligence sector, raising concerns about who truly benefits from these education reforms
That historical material supports the claim that the primary manufacturing labour for the artificial intelligence industry will similarly come from these workers, who are now being trained as skilled employees who follow the system rather than question it. This context can be theorised through Luxemburg’s claim that critical thinking training becomes a privileged instrument, alienating the working class from such training, an approach that neoliberalism prefers to adopt in the global South.
Institutional and Structural Gaps
Though the government aims to address the institutional and structural gaps, I claim that these gaps will instead widen due to the deeply rooted system of uneven distribution in the country. While agreeing to establish smart classrooms, the critical query is the absence of a wide technological welfare system across the country. From electricity to smart equipment, resources remain inadequate, and the government lags behind in taking prompt initiative to meet these requirements.
This issue is not only about the unavailability of human and material infrastructure, but also about the absence of a plan to restore smart normalcy after natural disasters, particularly the resumption of smart network connections. Access to smart learning platforms, such as the internet, for schoolchildren is a high-risk factor that requires not only the monitoring of classroom teachers but also the involvement of the state. The state needs to be vigilant of abuses and disinformation present in the smart-learning space, an area in which Sri Lanka is still lagging. This concern is not only about the safety of children but also about the safety of women. For example, the recent case of abusive image production via Elon Musk’s AI chatbox, X, highlights the urgent need for a legal framework in Sri Lanka.
Considering its geographical location, Sri Lanka is highly vulnerable to natural disasters, the frequency in which they occur, increasing, owing to climate change. Ditwah is a recent example, where villages were buried alive by landslides, rivers overflowed, and families were displaced, losing homes that they had built over their lifetimes. The critical question, then, is: despite the government’s promise to integrate climate change into the curriculum, how can something still ‘in the air ‘with climate adaptation plans yet to be fully established, be effectively incorporated into schools?
Looking at the demographic map of the country, the expansion of the elderly population, the dependent category, requires attention. Considering the physical and psychological conditions of this group, fostering “intelligent, civic-minded” citizens necessitates understanding the elderly not as a charity case but as a human group deserving dignity. This reflects a critical reading of the reform content: what, indeed, is to be taught? This critical aspect further links with the next section of reflective of ground reality.
Reflective Narrative of Ground Reality
Despite the government asserting that the “teacher” is central to this reform, critical engagement requires examining how their labour is recognised. In Sri Lanka, teachers’ work has long been tied to social recognition, both utilised and exploited, Teachers receive low salaries while handling multiple roles: teaching, class management, sectional duties, and disciplinary responsibilities.
At present, a total teaching load is around 35 periods a week, with 28 periods spent in classroom teaching. The reform adds continuous assessments, portfolio work, projects, curriculum preparation, peer coordination, and e-knowledge, to the teacher’s responsibilities. These are undeclared forms of labour, meaning that the government assigns no economic value to them; yet teachers perform these tasks as part of a long-standing culture. When this culture is unpacked, the gendered nature of this undeclared labour becomes clear. It is gendered because the majority of schoolteachers are women, and their unpaid roles remain unrecognised. It is worth citing some empirical narratives to illustrate this point:
“When there was an extra-school event, like walks, prize-giving, or new openings, I stayed after school to design some dancing and practice with the students. I would never get paid for that extra time,” a female dance teacher in the Western Province shared.
I cite this single empirical account, and I am certain that many teachers have similar stories to share.
Where the curriculum is concerned, schoolteachers struggle to complete each lesson as planned due to time constraints and poor infrastructure. As explained by a teacher in the Central Province:
“It is difficult to have a reliable internet connection. Therefore, I use the hotspot on my phone so the children can access the learning material.”
Using their own phones and data for classroom activities is not part of a teacher’s official duties, but a culture has developed around the teaching role that makes such decisions necessary. Such activities related to labour risks further exploitation under the reform if the state remains silent in providing the necessary infrastructure.
Considering that women form the majority of the teaching profession, none of the reforms so far have taken women’s health issues seriously. These issues could be exacerbated by the extra stress arising from multiple job roles. Many female teachers particularly those with young children, those in peri- or post-menopause stages of their life, or those with conditions like endometriosis may experience aggravated health problems due to work-related stress intensified by the reform. This raises a critical question: what role does the state play in addressing these issues?
In Conclusion
The following suggestions are put forward:
First and foremost, the government should clearly declare the fundamental plan of the reform, highlighting why, what, when, and how it will be implemented. This plan should be grounded in the realities of the classroom, focusing on being child-centred and teacher-focused.
Technological welfare interventions are necessary, alongside a legal framework to ensure the safety and security of accessing the smart, information-centred world. Furthermore, teachers’ labour should be formally recognised and assigned economic value. Currently, under neoliberal logic, teachers are often left to navigate these challenges on their own, as if the choice is between survival or collapse.
Aruni Samarakoon teaches at the Department of Public Policy, University of Ruhuna
Kuppi is a politics and pedagogy happening on the margins of the lecture hall that parodies, subverts, and simultaneously reaffirms social hierarchies.
By Aruni Samarakoon
Features
Smartphones and lyrics stands…
Diliup Gabadamudalige is, indeed, a maestro where music is concerned, and this is what he had to say, referring to our Seen ‘N’ Heard in The Island of 6th January, 2026, and I totally agree with his comments.
Diliup: “AI avatars will take over these concerts. It will take some time, but it surely will happen in the near future. Artistes can stay at home and hire their avatar for concerts, movies, etc. Lyrics and dance moves, even gymnastics can be pre-trained”.
Yes, and that would certainly be unsettling as those without talent will make use of AI to deceive the public.
Right now at most events you get the stage crowded with lyrics stands and, to make matters even worse, some of the artistes depend on the smartphone to put over a song – checking out the lyrics, on the smartphone, every few seconds!
In the good ole days, artistes relied on their talent, stage presence, and memorisation skills to dominate the stage.
They would rehearse till they knew the lyrics by heart and focus on connecting with the audience.

Smartphones and lyrics stands: A common sight these days
The ability of the artiste to keep the audience entertained, from start to finish, makes a live performance unforgettable That’s the magic of a great show!
When an artiste’s energy is contagious, and they’re clearly having a blast, the audience feeds off it and gets taken on an exciting ride. It’s like the whole crowd is vibing on the same frequency.
Singing with feeling, on stage, creates this electric connection with the audience, but it can’t be done with a smartphone in one hand and lyrics stands lined up on the stage.
AI’s gonna shake things up in the music scene, for sure – might replace some roles, like session musicians or sound designers – but human talent will still shine!
AI can assist, but it’s tough to replicate human emotion, experience, and soul in music.
In the modern world, I guess artistes will need to blend old-school vibes with new tech but certainly not with smartphones and lyrics stands!
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